QE Quantum Economics refers to the fundamental content of his research, which is to explore the possible applications of quantum computing in the world of economics, industry and business. In this context, problems such as optimisation, data analysis, decision making, or cybersecurity are of great relevance. For all of them, quantum computing can offer novel solutions.
It talks about the eminently practical, experimental and applied vocation of his research, trying to increase the impact and presence of quantum computing in our society. The technologies involved in the QETEL lab are gate-based quantum computing, adiabatic quantum computing or Artificial Intelligence and in a very special way Quantum Artificial Intelligence. TEL Technology Experience Lab
Meet the people who make up the QETEL team and the people and
external institutions that actively collaborate with us.
The first algorithm that is typically associated with quantum computing is the Shor algorithm [1], which is seen as a significant potential threat to the current cybersecurity paradigm.
In previous posts, we have discussed the optimisation of portfolios using quantum annealing. Now, we will examine an alternative approach within a gate-based quantum computer, providing a view to understanding how QAOA works and a practical use case for the top ten enterprises in IBEX 35.
In this blog we show the results of a method that consists of introducing the possibility that in an iterative game each player can adjust the parameters of their quantum plays iteratively to optimise their own payoff through a cost function using, for example, gradient descent techniques.
